Building Extensible Model for Healthcare Resource Allocation Using Model-Driven Approach

In the healthcare industry, proper allocation of critical resources is essential to prevent dire consequences. The availability of resources is limited and needs to be handled in an organized and orderly manner. Model-driven development is a methodology using which complex scenarios can be built with the abstraction of pre-built components. In this paper, a model for automated resource allocation is constructed using various actors of the Ptolemy-II tool. This model is built in a modular fashion such that most of the key functional actors are custom-built user libraries that can be utilized in future scaling and design. The proposed model is capable of allocating resources and scheduling patient treatment in a range of scenarios with the flexibility to change certain parameters in every case. This paper illustrates how the proposed model can evaluate, visualize, and identify scaling issues in a hospital by running a few different scenarios with varying number of caregivers. These scenarios also show the variability of metrics like average waiting patients, the efficiency of the hospital and average doctor load with respect to the change in the number of caregivers.